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International Journal of Frontiers in Engineering Technology, 2022, 4(3); doi: 10.25236/IJFET.2022.040307.

Risk Innovation Green Innovation Management of Chinese and Russian Stock Markets Based on Time-Space Kriging Model

Author(s)

Hongyuan Bi

Corresponding Author:
Hongyuan Bi
Affiliation(s)

Faculty of Arts and Science, University of Toronto, Toronto M5S1A1, Canada

Abstract

In recent years, due to the influence of economic globalization and financial integration, modern financial theory and financial innovation, the Chinese and Russian financial markets have developed rapidly, but at the same time, the financial markets have also shown unprecedented volatility. The Sino-Russian financial markets at the initial development stage will also face even more dramatic fluctuations. In particular, the stock market, which is the largest area for potential financial risk transmission, inevitably becomes the focus of green innovation management for financial risk transmission. This paper uses the modern risk management technology Kriging theory, through the introduction of GARCH Kriging model calculation, analyzes the comprehensive risk transmission of different markets in the Chinese and Russian stock markets, and measures several representative industry risks, indicating that Kriging risk management theory is in China and Russia. The applicability of the stock market and the risk estimation of different industries. At the same time, this paper analyzes the risk composition of the portfolio through Kriging risk analysis of the four heavyweight stocks of Sino-Russian funds, and makes relevant analysis for the selection of the portfolio and the sources of risk transmission and risk avoidance. The experimental results show that for the test sample data T = 510, at a 95% confidence level, the number of Sino-Russian real estate index, manufacturing index, financial index and IT index should not exceed the Kriging critical value nor exceed 36.

Keywords

Space-time Kriging Model, Sino-Russian Stock Market, Risk Transmission Measurement, Green Innovation Management

Cite This Paper

Hongyuan Bi. Risk Innovation Green Innovation Management of Chinese and Russian Stock Markets Based on Time-Space Kriging Model. International Journal of Frontiers in Engineering Technology (2022), Vol. 4, Issue 3: 49-59. https://doi.org/10.25236/IJFET.2022.040307.

References

[1] Juanjuan Li. Design and Realization of Greenhouse Sensor Intelligent Management System Based on Internet of Things. International Journal of Online Engineering, 2017, 13(5):80.

[2] Diboulo E, Sié A, Diadier D A, et al. Bayesian krigingiable selection in modelling geographical heterogeneity in malaria transmission from sparse data: an application to Nouna Health and Demographic Surveillance System (HDSS) data, Burkina Faso. Particle & Fibre Toxicology, 2015, 8(1):1-14.

[3] Kim C S, Echaubard P, Suwannatrai A, et al. Seasonal and Spatial Environmental Influence on Opisthorchis viverrini Intermediate Hosts, Abundance, and Distribution: Insights on Transmission Dynamics and Sustainable Control.. Plos Negl Trop Dis, 2016, 10(11):e0005121.

[4] Cabezas L, Cabanzo W, Santa F, et al. [Spatial distribution of Aedes aegypti (Diptera: Culicidae) in the rural area of two municipalities of Cundinamarca, Colombia]. Biomedica, 2017:41-49.

[5] Roger M. Waxler, David Green, Jean-Marie Lalande. Propagation model based explosive yield determination from stratospheric infrasound arrivals: Humming Roadrunner data analysis. Journal of the Acoustical Society of America, 2015, 137(4):2407-2407.

[6] Min Gao, Kun Wang, Lei He. Probabilistic Model Checking and Scheduling Implementation of Energy Router System in Energy Internet for Green Cities. IEEE Transactions on Industrial Informatics, 2018, PP(99):1-1.

[7] M. Li, G. Deng, Y. Mi. Acoustic Performance Optimization of the Exhaust Muffler for a Car Based on Response Surface Method. Journal of Shanghai Jiaotong University, 2017, 51(9):1031-1035.

[8] Kai Lin, Jeungeun Song, Jiming Luo. GVT: Green Video Transmission in the Mobile Cloud Networks. IEEE Transactions on Circuits & Systems for Video Technology, 2016, 27(1):1-1.

[9] Chengan Wang, Jianyu Tan, Qingzhi Lai. The influence of bubble populations generated under windy conditions on the blue–green light transmission in the upper ocean: An exploratory approach. Modern Physics Letters B, 2016, 30(36):1602-4042.

[10] Thi Thuy Duong Vu, Jayeshkumar Patel, Frej Mighri. The effect of TiO2 surface modification on the photovoltaic properties of hybrid bulk heterojunction solar cells based on MEH-PPV/CdS/TiO2 active layer. Green Processing & Synthesis, 2015, 4(2):79-90.

[11] Kelly L L'Engle, Kimberly Green, Stacey M Succop. Scaled-Up Mobile Phone Intervention for HIV Care and Treatment: Protocol for a Facility Randomized Controlled Trial. Journal of Medical Internet Research, 2015, 4(1):e11.

[12] Karla Sofía Vizuete, Brajesh Kumar, Katherine Guzmán. Shora (Capparis petiolaris) fruit mediated green synthesis and application of silver nanoparticles. Green Processing & Synthesis, 2016, 6(1):23-30.

[13] Hill-Ricciuti Alexandra, Greendyke William, Oberhardt Matthew. 1257. Assessing Risk Factors for an Outbreak of Burkholderia cenocepacia in Non-cystic Fibrosis (CF) Patients. Open Forum Infectious Diseases, 2018(suppl_1):suppl_1.

[14] Teanchai Chantakit, Surasak Chiangga. Ultra-high green light transparency coating on 1D photonic crystal structure. Journal of Physics Conference Series, 2017, 901(1):012150.

[15] Scott D. Frank, Anatoliy N. Ivakin. Estimating the influence of ice thickness and elasticity on long-range narrow-band reverberation in a representative Arctic environment. Journal of the Acoustical Society of America, 2017, 141(5):4049-4049.

[16] Hatice Gaye GENCER, Mehmet Yasin HURATA. Risk Transmission and Contagion in the Equity Markets: International Evidence from the Global Financial Crisis. Journal for Economic Forecasting, 2017, 20(3):110-129.

[17] Sha Zhu. The Spillover and Transmission of Chinese Financial Markets Risk. International Business Research, 2018, 11(8):66.

[18] Wee-Yeap Lau, Chin Lee. Testing the efficacy of information transmission: is equity style index better than stock market index?. E A M Ekonomie A Management, 2015, 18(3):4-17.

[19] Li C B, Dong W, Lin S S. Research on Analytic Model of Project Chain Risk Elements Transmission Based on Risk Ranking Method and Data Mining. International Journal of Multimedia & Ubiquitous Engineering, 2016, 11(11):353-364.

[20] Jones S R M, Bruno D W, Madsen L, et al. Disease management mitigates risk of pathogen transmission from maricultured salmonids. 2015, 6(6):119-134.

[21] Butt T S, Koutlakisbarron I, Aljumaah S, et al. Infection control and prevention practices implemented to reduce transmission risk of Middle East respiratory syndrome-coronavirus in a tertiary care institution in Saudi Arabia. American Journal of Infection Control, 2016, 44(5):605-611.

[22] Kezunovic M, Vittal V, Meliopoulos S, et al. The Big Picture: Smart Research for Large-Scale Integrated Smart Grid Solutions. Power & Energy Magazine IEEE, 2015, 10(4):22-34.

[23] Berec, Luděk, Maxin, Daniel, Bernhauerová, Veronika. Male‐killing bacteria as agents of insect pest control. Journal of Applied Ecology, 2016, 53(4):1270-1279.

[24] Vanessa Roger-Monzó, María Guijarro-García, Myriam Martí-Sánchez. Digital Signage: An Experience of Innovation in Higher Education. Multidisciplinary Journal for Education Social & Technological Sciences, 2015, 2(2):1.